The t-statistic is defined as follows: a. $t = \frac { \bar { Y } - \mu _ { Y , 0 } } { \frac { \sigma _ { Y } ^ { 2 } } { n } }$.
b. $t = \frac { \bar { Y } - \mu _ { Y , 0 } } { S E ( \bar { Y } ) }$.
c. $t = \frac { \left( \bar { Y } - \mu _ { Y , 0 } \right) ^ { 2 } } { S E ( \bar { Y } ) }$.
d. $1.96$.

Question

Quizplus · Accepted Answer

The Answer of The t-statistic is defined as follows: a. $t = \frac { \bar { Y } - \mu _ { Y , 0 } } { \frac { \sigma _ { Y } ^ { 2 } } { n } }$.
b. $t = \frac { \bar { Y } - \mu _ { Y , 0 } } { S E ( \bar { Y } ) }$.
c. $t = \frac { \left( \bar { Y } - \mu _ { Y , 0 } \right) ^ { 2 } } { S E ( \bar { Y } ) }$.
d. $1.96$.

The T-Statistic Is Defined as Follows: A t=Yˉ−μY,0σY2nt = \frac { \bar { Y } - \mu _ { Y , 0 } } { \frac { \sigma _ { Y } ^ { 2 } } { n } }t=nσY2​​Yˉ−μY,0​​

The T-Statistic Is Defined as Follows: A $t = \frac { \bar { Y } - \mu _ { Y , 0 } } { \frac { \sigma _ { Y } ^ { 2 } } { n } }$